This book provides the ideal guide for Python developers who want to learn how to build applications with large language models. The book presents the main features and benefits of the GPT-4 and GPT-3.5 models and explains how they work. You'll also get step-by-step instructions for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants.
Written in clear and concise language, Developing Applications with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in the GitHub repository, and the book includes a key glossary. Ready to harness the power of large language models in your application? This book is a must.
You will learn:
- ✓ The foundations and benefits of the GPT-4 and GPT-3.5 models, including key features and how they work.
- ✓ How to integrate these models into Python-based applications, leverage natural language processing, and overcome specific challenges associated with LLM.
- ✓ Examples of OpenAI API demo applications in Python for tasks including text generation, question answering, content summarization, classification, and more.
- ✓ Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPT, and assistants.
Index:
- ✓ Chapter 1. GPT-4 and ChatGPT Essentials.
- ✓ Chapter 2. Deep dive into the OpenAI API.
- ✓ Chapter 3. Navigating LLM-Powered Applications: Possibilities and Challenges.
- ✓ Chapter 4. Advanced LLM integration strategies with OpenAI.
- ✓ Chapter 5. Enhance LLM capabilities with Frameworks, Plug-Ins, etc.
- ✓ Chapter 6. Putting it all together.
- ✓ Appendix. Tools, Libraries and Frameworks.